Pandas Profiling Report

Dataset statistics

Number of variables	38
Number of observations	29786
Missing cells	119359
Missing cells (%)	10.5%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	7.6 MiB
Average record size in memory	269.0 B

Variable types

Numeric	10
Categorical	21
Boolean	7

Alerts

`disable_communication` has constant value "False"	Constant
`friends` has constant value "[]"	Constant
`is_backing` has constant value "False"	Constant
`is_starred` has constant value "False"	Constant
`permissions` has constant value "[]"	Constant
`blurb` has a high cardinality: 29521 distinct values	High cardinality
`created_at` has a high cardinality: 29784 distinct values	High cardinality
`creator` has a high cardinality: 25247 distinct values	High cardinality
`deadline` has a high cardinality: 29096 distinct values	High cardinality
`launched_at` has a high cardinality: 29761 distinct values	High cardinality
`name` has a high cardinality: 29751 distinct values	High cardinality
`slug` has a high cardinality: 29786 distinct values	High cardinality
`state_changed_at` has a high cardinality: 29202 distinct values	High cardinality
`location_city` has a high cardinality: 4279 distinct values	High cardinality
`location_state` has a high cardinality: 621 distinct values	High cardinality
`backers_count` is highly correlated with `converted_pledged_amount` and 3 other fields	High correlation
`converted_pledged_amount` is highly correlated with `backers_count` and 3 other fields	High correlation
`currency_trailing_code` is highly correlated with `fx_rate` and 2 other fields	High correlation
`fx_rate` is highly correlated with `currency_trailing_code` and 2 other fields	High correlation
`pledged` is highly correlated with `backers_count` and 3 other fields	High correlation
`spotlight` is highly correlated with `backers_count` and 3 other fields	High correlation
`static_usd_rate` is highly correlated with `currency_trailing_code` and 2 other fields	High correlation
`usd_exchange_rate` is highly correlated with `currency_trailing_code` and 2 other fields	High correlation
`usd_pledged` is highly correlated with `backers_count` and 3 other fields	High correlation
`backers_count` is highly correlated with `converted_pledged_amount` and 1 other fields	High correlation
`converted_pledged_amount` is highly correlated with `backers_count` and 2 other fields	High correlation
`currency_trailing_code` is highly correlated with `fx_rate` and 2 other fields	High correlation
`fx_rate` is highly correlated with `currency_trailing_code` and 2 other fields	High correlation
`pledged` is highly correlated with `converted_pledged_amount` and 1 other fields	High correlation
`static_usd_rate` is highly correlated with `currency_trailing_code` and 2 other fields	High correlation
`usd_exchange_rate` is highly correlated with `currency_trailing_code` and 2 other fields	High correlation
`usd_pledged` is highly correlated with `backers_count` and 2 other fields	High correlation
`backers_count` is highly correlated with `converted_pledged_amount` and 3 other fields	High correlation
`converted_pledged_amount` is highly correlated with `backers_count` and 3 other fields	High correlation
`currency_trailing_code` is highly correlated with `fx_rate` and 2 other fields	High correlation
`fx_rate` is highly correlated with `currency_trailing_code` and 2 other fields	High correlation
`pledged` is highly correlated with `backers_count` and 2 other fields	High correlation
`spotlight` is highly correlated with `backers_count` and 2 other fields	High correlation
`static_usd_rate` is highly correlated with `currency_trailing_code` and 2 other fields	High correlation
`usd_exchange_rate` is highly correlated with `currency_trailing_code` and 2 other fields	High correlation
`usd_pledged` is highly correlated with `backers_count` and 3 other fields	High correlation
`currency` is highly correlated with `is_starred` and 8 other fields	High correlation
`is_starred` is highly correlated with `currency` and 16 other fields	High correlation
`usd_type` is highly correlated with `is_starred` and 5 other fields	High correlation
`spotlight` is highly correlated with `is_starred` and 7 other fields	High correlation
`currency_trailing_code` is highly correlated with `currency` and 8 other fields	High correlation
`is_starrable` is highly correlated with `is_starred` and 5 other fields	High correlation
`source_url` is highly correlated with `is_starred` and 6 other fields	High correlation
`friends` is highly correlated with `currency` and 16 other fields	High correlation
`currency_symbol` is highly correlated with `currency` and 8 other fields	High correlation
`current_currency` is highly correlated with `is_starred` and 5 other fields	High correlation
`permissions` is highly correlated with `currency` and 16 other fields	High correlation
`country_displayable_name` is highly correlated with `currency` and 8 other fields	High correlation
`is_backing` is highly correlated with `currency` and 16 other fields	High correlation
`category` is highly correlated with `is_starred` and 6 other fields	High correlation
`country` is highly correlated with `currency` and 8 other fields	High correlation
`disable_communication` is highly correlated with `currency` and 16 other fields	High correlation
`state` is highly correlated with `is_starred` and 6 other fields	High correlation
`staff_pick` is highly correlated with `is_starred` and 4 other fields	High correlation
`backers_count` is highly correlated with `converted_pledged_amount` and 2 other fields	High correlation
`category` is highly correlated with `is_starrable` and 3 other fields	High correlation
`converted_pledged_amount` is highly correlated with `backers_count` and 2 other fields	High correlation
`country` is highly correlated with `country_displayable_name` and 6 other fields	High correlation
`country_displayable_name` is highly correlated with `country` and 6 other fields	High correlation
`currency` is highly correlated with `country` and 6 other fields	High correlation
`currency_symbol` is highly correlated with `country` and 6 other fields	High correlation
`currency_trailing_code` is highly correlated with `country` and 6 other fields	High correlation
`fx_rate` is highly correlated with `country` and 6 other fields	High correlation
`is_starrable` is highly correlated with `category` and 1 other fields	High correlation
`pledged` is highly correlated with `backers_count` and 2 other fields	High correlation
`source_url` is highly correlated with `category` and 2 other fields	High correlation
`spotlight` is highly correlated with `category` and 2 other fields	High correlation
`state` is highly correlated with `category` and 3 other fields	High correlation
`static_usd_rate` is highly correlated with `country` and 6 other fields	High correlation
`usd_exchange_rate` is highly correlated with `country` and 6 other fields	High correlation
`usd_pledged` is highly correlated with `backers_count` and 2 other fields	High correlation
`friends` has 29774 (> 99.9%) missing values	Missing
`is_backing` has 29774 (> 99.9%) missing values	Missing
`is_starred` has 29774 (> 99.9%) missing values	Missing
`permissions` has 29774 (> 99.9%) missing values	Missing
`backers_count` is highly skewed (γ1 = 35.14232734)	Skewed
`converted_pledged_amount` is highly skewed (γ1 = 35.5152626)	Skewed
`goal` is highly skewed (γ1 = 85.34983856)	Skewed
`pledged` is highly skewed (γ1 = 40.96339002)	Skewed
`usd_pledged` is highly skewed (γ1 = 35.523334)	Skewed
`blurb` is uniformly distributed	Uniform
`created_at` is uniformly distributed	Uniform
`creator` is uniformly distributed	Uniform
`deadline` is uniformly distributed	Uniform
`launched_at` is uniformly distributed	Uniform
`name` is uniformly distributed	Uniform
`slug` is uniformly distributed	Uniform
`state_changed_at` is uniformly distributed	Uniform
`id` has unique values	Unique
`slug` has unique values	Unique
`backers_count` has 1674 (5.6%) zeros	Zeros
`converted_pledged_amount` has 1783 (6.0%) zeros	Zeros
`pledged` has 1674 (5.6%) zeros	Zeros
`usd_pledged` has 1674 (5.6%) zeros	Zeros

Reproduction

Analysis started	2022-03-04 18:21:20.357554
Analysis finished	2022-03-04 18:21:50.507254
Duration	30.15 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

Unnamed: 0
Real number (ℝ_≥0)

Distinct	3666
Distinct (%)	12.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1775.418049

Minimum	0
Maximum	3665
Zeros	9
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	232.8 KiB

Quantile statistics

Minimum	0
5-th percentile	172
Q1	865
median	1736
Q3	2683
95-th percentile	3463.75
Maximum	3665
Range	3665
Interquartile range (IQR)	1818

Descriptive statistics

Standard deviation	1053.451646
Coefficient of variation (CV)	0.5933541381
Kurtosis	-1.185328284
Mean	1775.418049
Median Absolute Deviation (MAD)	907
Skewness	0.07235547447
Sum	52882602
Variance	1109760.371
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	9	< 0.1%
1164	9	< 0.1%
1177	9	< 0.1%
1175	9	< 0.1%
1173	9	< 0.1%
1171	9	< 0.1%
1170	9	< 0.1%
1168	9	< 0.1%
1167	9	< 0.1%
1166	9	< 0.1%
Other values (3656)	29696	99.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	9	< 0.1%
1	8	< 0.1%
2	8	< 0.1%
3	9	< 0.1%
4	9	< 0.1%
5	8	< 0.1%
6	9	< 0.1%
7	8	< 0.1%
8	9	< 0.1%
9	9	< 0.1%

Value	Count	Frequency (%)
3665	1	< 0.1%
3664	1	< 0.1%
3663	1	< 0.1%
3662	1	< 0.1%
3661	2	< 0.1%
3660	3	< 0.1%
3659	2	< 0.1%
3658	3	< 0.1%
3657	4	< 0.1%
3656	5	< 0.1%

backers_count
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	1549
Distinct (%)	5.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	180.9706238

Minimum	0
Maximum	91585
Zeros	1674
Zeros (%)	5.6%
Negative	0
Negative (%)	0.0%
Memory size	232.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	8
median	37
Q3	107
95-th percentile	548
Maximum	91585
Range	91585
Interquartile range (IQR)	99

Descriptive statistics

Standard deviation	1252.665749
Coefficient of variation (CV)	6.92192867
Kurtosis	1763.673488
Mean	180.9706238
Median Absolute Deviation (MAD)	34
Skewness	35.14232734
Sum	5390391
Variance	1569171.479
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1674	5.6%
1	1596	5.4%
2	1152	3.9%
3	803	2.7%
4	618	2.1%
5	508	1.7%
6	431	1.4%
8	400	1.3%
7	387	1.3%
10	333	1.1%
Other values (1539)	21884	73.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1674	5.6%
1	1596	5.4%
2	1152	3.9%
3	803	2.7%
4	618	2.1%
5	508	1.7%
6	431	1.4%
7	387	1.3%
8	400	1.3%
9	304	1.0%

Value	Count	Frequency (%)
91585	1	< 0.1%
63416	1	< 0.1%
58561	1	< 0.1%
57209	1	< 0.1%
46520	1	< 0.1%
45162	1	< 0.1%
41486	1	< 0.1%
37401	1	< 0.1%
36374	1	< 0.1%
31463	1	< 0.1%

blurb
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	29521
Distinct (%)	99.1%
Missing	2
Missing (%)	< 0.1%
Memory size	232.8 KiB

A beautiful natural Fine art nude book exemplifying the female form presented by female producer Nina Vain.	14
Crappy Custom Postcard Drawings ...and poetry too!	8
Firedance Jewelry pieces are uniquely handcrafted using fused dichroic glass. Firedance Jewelry - the fusion of art & science.	8
A couple's love story is portrayed by 100 actors who compete for the 2 lead roles and the chance to perform the final terrifying scene.	6
Wearing masks to express our inner feelings and desires.	6
Other values (29516)	29742

Length

Max length	196
Median length	119
Mean length	105.9437618
Min length	1

Characters and Unicode

Total characters	1467
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	29326 ?
Unique (%)	98.5%

Sample

1st row	A super-cheeky strategy card game that's full of monsters, magic and lots of sneaky revenge!
2nd row	Help us finish a feature film about two strangers stuck in adjacent elevators that share a conversation that may alter their realities.
3rd row	Considered playfully mischievous and outlaws in the world of movement, Rogue Co. brings you their 5th full length production, "PHASE."
4th row	A fantastical love story about two New Yorkers whose relationship unfolds aboard a paper mache subway!
5th row	A story about a girl named Jane who is learning to accept human frailty as she deals with the news of her sister getting knocked up.

Common Values

Value	Count	Frequency (%)
A beautiful natural Fine art nude book exemplifying the female form presented by female producer Nina Vain.	14	< 0.1%
Crappy Custom Postcard Drawings ...and poetry too!	8	< 0.1%
Firedance Jewelry pieces are uniquely handcrafted using fused dichroic glass. Firedance Jewelry - the fusion of art & science.	8	< 0.1%
A couple's love story is portrayed by 100 actors who compete for the 2 lead roles and the chance to perform the final terrifying scene.	6	< 0.1%
Wearing masks to express our inner feelings and desires.	6	< 0.1%
Beautiful girls – models, shows their nude photos Militancy and tender, erotic and at the same time inaccessible ...	5	< 0.1%
Hard Enamel Pins	5	< 0.1%
( WARNING : This photo issue may contain traces of nudity. ) Printed , eBook	5	< 0.1%
A meeting of performing and creative artists, educators and producers working across artistic disciplines and cultural divides	4	< 0.1%
cool dog is a good dog. he is best conveyed in sticker form. people love stickers. he is to be shared with all the people of the world.	4	< 0.1%
Other values (29511)	29719	99.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
a	21380	4.1%
the	20483	3.9%
and	16074	3.1%
of	15739	3.0%
to	12788	2.4%
in	8219	1.6%
for	5934	1.1%
is	5452	1.0%
with	5009	1.0%
	4922	0.9%
Other values (43887)	406699	77.8%

Most occurring characters

Value	Count	Frequency (%)
	1467	100.0%

Most occurring categories

Value	Count	Frequency (%)
Control	1467	100.0%

Most frequent character per category

Control

Value	Count	Frequency (%)
	1467	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1467	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
	1467	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1467	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1467	100.0%

category
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	44
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	232.8 KiB

Graphic Novels	2400
Classical Music	2400
Narrative Film	2400
Jewelry	1998
Wearables	1898
Other values (39)	18690

Length

Max length	16
Median length	12
Mean length	10.89531995
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Tabletop Games
2nd row	Narrative Film
3rd row	Performances
4th row	Romance
5th row	Narrative Film

Common Values

Value	Count	Frequency (%)
Graphic Novels	2400	8.1%
Classical Music	2400	8.1%
Narrative Film	2400	8.1%
Jewelry	1998	6.7%
Wearables	1898	6.4%
Poetry	1816	6.1%
Tabletop Games	1719	5.8%
Dance	1367	4.6%
Radio & Podcasts	1306	4.4%
Performances	1293	4.3%
Other values (34)	11189	37.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
art	3570	7.7%
graphic	2400	5.2%
classical	2400	5.2%
music	2400	5.2%
narrative	2400	5.2%
film	2400	5.2%
novels	2400	5.2%
games	2096	4.5%
jewelry	1998	4.3%
wearables	1898	4.1%
Other values (43)	22283	48.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

converted_pledged_amount
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	12468
Distinct (%)	41.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15811.01847

Minimum	0
Maximum	8596474
Zeros	1783
Zeros (%)	6.0%
Negative	0
Negative (%)	0.0%
Memory size	232.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	351
median	2268
Q3	7713.25
95-th percentile	43242
Maximum	8596474
Range	8596474
Interquartile range (IQR)	7362.25

Descriptive statistics

Standard deviation	132935.8178
Coefficient of variation (CV)	8.407796
Kurtosis	1701.172889
Mean	15811.01847
Median Absolute Deviation (MAD)	2227
Skewness	35.5152626
Sum	470946996
Variance	1.767193165 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1783	6.0%
1	664	2.2%
2	149	0.5%
10	129	0.4%
5	103	0.3%
50	95	0.3%
25	95	0.3%
6	86	0.3%
100	77	0.3%
3	71	0.2%
Other values (12458)	26534	89.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1783	6.0%
1	664	2.2%
2	149	0.5%
3	71	0.2%
4	30	0.1%
5	103	0.3%
6	86	0.3%
7	30	0.1%
8	33	0.1%
9	16	0.1%

Value	Count	Frequency (%)
8596474	1	< 0.1%
8324792	1	< 0.1%
5988089	1	< 0.1%
5702153	1	< 0.1%
5333792	1	< 0.1%
4831975	1	< 0.1%
4809104	1	< 0.1%
4681636	1	< 0.1%
3502960	1	< 0.1%
3310872	1	< 0.1%

country
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	25
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	232.8 KiB

US	20551
GB	3404
CA	1429
AU	624
DE	561
Other values (20)	3217

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	AU
2nd row	US
3rd row	US
4th row	US
5th row	US

Common Values

Value	Count	Frequency (%)
US	20551	69.0%
GB	3404	11.4%
CA	1429	4.8%
AU	624	2.1%
DE	561	1.9%
FR	502	1.7%
IT	437	1.5%
ES	377	1.3%
MX	341	1.1%
NL	265	0.9%
Other values (15)	1295	4.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
us	20551	69.0%
gb	3404	11.4%
ca	1429	4.8%
au	624	2.1%
de	561	1.9%
fr	502	1.7%
it	437	1.5%
es	377	1.3%
mx	341	1.1%
nl	265	0.9%
Other values (15)	1295	4.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

country_displayable_name
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	25
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	232.8 KiB

the United States	20551
the United Kingdom	3404
Canada	1429
Australia	624
Germany	561
Other values (20)	3217

Length

Max length	18
Median length	17
Mean length	15.16907272
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Australia
2nd row	the United States
3rd row	the United States
4th row	the United States
5th row	the United States

Common Values

Value	Count	Frequency (%)
the United States	20551	69.0%
the United Kingdom	3404	11.4%
Canada	1429	4.8%
Australia	624	2.1%
Germany	561	1.9%
France	502	1.7%
Italy	437	1.5%
Spain	377	1.3%
Mexico	341	1.1%
the Netherlands	265	0.9%
Other values (15)	1295	4.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	24220	31.0%
united	23955	30.6%
states	20551	26.3%
kingdom	3404	4.4%
canada	1429	1.8%
australia	624	0.8%
germany	561	0.7%
france	502	0.6%
italy	437	0.6%
spain	377	0.5%
Other values (19)	2179	2.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

created_at
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	29784
Distinct (%)	> 99.9%
Missing	0
Missing (%)	0.0%
Memory size	232.8 KiB

2018-07-12 18:26:53	2
2015-10-16 16:41:53	2
2021-05-21 01:00:51	1
2018-09-15 19:09:59	1
2015-09-28 20:42:30	1
Other values (29779)	29779

Length

Max length	19
Median length	19
Mean length	19
Min length	19

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	29782 ?
Unique (%)	> 99.9%

Sample

1st row	2021-05-21 01:00:51
2nd row	2012-01-26 18:20:01
3rd row	2015-11-13 21:04:33
4th row	2013-02-01 17:22:07
5th row	2012-02-23 19:45:00

Common Values

Value	Count	Frequency (%)
2018-07-12 18:26:53	2	< 0.1%
2015-10-16 16:41:53	2	< 0.1%
2021-05-21 01:00:51	1	< 0.1%
2018-09-15 19:09:59	1	< 0.1%
2015-09-28 20:42:30	1	< 0.1%
2011-10-10 21:55:07	1	< 0.1%
2019-05-13 15:19:21	1	< 0.1%
2014-08-25 21:44:21	1	< 0.1%
2019-05-11 09:58:00	1	< 0.1%
2016-11-28 15:57:13	1	< 0.1%
Other values (29774)	29774	> 99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2014-07-08	62	0.1%
2021-01-25	45	0.1%
2021-02-08	44	0.1%
2014-07-09	44	0.1%
2021-01-14	44	0.1%
2021-01-26	43	0.1%
2021-02-22	40	0.1%
2021-01-27	40	0.1%
2021-01-11	39	0.1%
2021-02-01	39	0.1%
Other values (28604)	59132	99.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

creator
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	25247
Distinct (%)	84.9%
Missing	64
Missing (%)	0.2%
Memory size	232.8 KiB

Mary & Josh	29
Evolutionary Comics	26
Romeo Press	23
NightstormWest (deleted)	22
A K Nicholas	20
Other values (25242)	29602

Length

Max length	50
Median length	13
Mean length	14.48018303
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	22548 ?
Unique (%)	75.9%

Sample

1st row	Jof Croxford
2nd row	Nine Finger Productions
3rd row	Rogue Co.
4th row	Ryan Mitchel and Team
5th row	Carol Brandt

Common Values

Value	Count	Frequency (%)
Mary & Josh	29	0.1%
Evolutionary Comics	26	0.1%
Romeo Press	23	0.1%
NightstormWest (deleted)	22	0.1%
A K Nicholas	20	0.1%
badgirlartwork.com	17	0.1%
Megan Tilton	17	0.1%
Pat Shand	16	0.1%
Adam Reuter	14	< 0.1%
Curt	13	< 0.1%
Other values (25237)	29525	99.1%
(Missing)	64	0.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	763	1.2%
deleted	552	0.8%
the	499	0.8%
and	434	0.7%
dance	408	0.6%
david	324	0.5%
michael	316	0.5%
games	303	0.5%
john	247	0.4%
james	197	0.3%
Other values (23771)	62303	93.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

currency
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	15
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	232.8 KiB

USD	20551
GBP	3404
EUR	2505
CAD	1429
AUD	624
Other values (10)	1273

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	AUD
2nd row	USD
3rd row	USD
4th row	USD
5th row	USD

Common Values

Value	Count	Frequency (%)
USD	20551	69.0%
GBP	3404	11.4%
EUR	2505	8.4%
CAD	1429	4.8%
AUD	624	2.1%
MXN	341	1.1%
SEK	205	0.7%
HKD	195	0.7%
SGD	119	0.4%
CHF	92	0.3%
Other values (5)	321	1.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
usd	20551	69.0%
gbp	3404	11.4%
eur	2505	8.4%
cad	1429	4.8%
aud	624	2.1%
mxn	341	1.1%
sek	205	0.7%
hkd	195	0.7%
sgd	119	0.4%
chf	92	0.3%
Other values (5)	321	1.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

currency_symbol
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	232.8 KiB

$	23342
£	3404
€	2505
kr	352
Fr	92
Other values (2)	91

Length

Max length	3
Median length	1
Mean length	1.018397905
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$
2nd row	$
3rd row	$
4th row	$
5th row	$

Common Values

Value	Count	Frequency (%)
$	23342	78.4%
£	3404	11.4%
€	2505	8.4%
kr	352	1.2%
Fr	92	0.3%
¥	79	0.3%
zł	12	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
	23342	78.4%
£	3404	11.4%
€	2505	8.4%
kr	352	1.2%
fr	92	0.3%
¥	79	0.3%
zł	12	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

currency_trailing_code
Boolean

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	29.2 KiB

True	23694
False	6092

Common Values
Chart

Value	Count	Frequency (%)
True	23694	79.5%
False	6092	20.5%

current_currency
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	232.8 KiB

USD	29703
CAD	83

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	USD
2nd row	USD
3rd row	USD
4th row	USD
5th row	USD

Common Values

Value	Count	Frequency (%)
USD	29703	99.7%
CAD	83	0.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
usd	29703	99.7%
cad	83	0.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

deadline
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	29096
Distinct (%)	97.7%
Missing	0
Missing (%)	0.0%
Memory size	232.8 KiB

2021-07-01 03:59:00	9
2021-05-01 03:59:00	8
2021-01-01 04:59:00	6
2021-02-28 23:59:00	5
2021-03-01 04:59:00	5
Other values (29091)	29753

Length

Max length	19
Median length	19
Mean length	19
Min length	19

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	28521 ?
Unique (%)	95.8%

Sample

1st row	2021-07-14 02:00:04
2nd row	2012-04-02 06:59:00
3rd row	2016-02-13 18:34:51
4th row	2013-03-14 12:18:28
5th row	2012-04-01 04:59:00

Common Values

Value	Count	Frequency (%)
2021-07-01 03:59:00	9	< 0.1%
2021-05-01 03:59:00	8	< 0.1%
2021-01-01 04:59:00	6	< 0.1%
2021-02-28 23:59:00	5	< 0.1%
2021-03-01 04:59:00	5	< 0.1%
2021-05-01 01:00:00	5	< 0.1%
2021-03-25 22:00:00	5	< 0.1%
2015-05-01 03:59:00	4	< 0.1%
2019-01-01 04:59:00	4	< 0.1%
2021-02-01 04:59:00	4	< 0.1%
Other values (29086)	29731	99.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
03:59:00	734	1.2%
04:59:00	632	1.1%
04:00:00	404	0.7%
06:59:00	353	0.6%
00:00:00	348	0.6%
01:00:00	326	0.5%
02:00:00	315	0.5%
03:00:00	307	0.5%
22:00:00	271	0.5%
05:00:00	266	0.4%
Other values (21899)	55616	93.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

disable_communication
Boolean

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	29.2 KiB

False	29786

Common Values
Chart

Value	Count	Frequency (%)
False	29786	100.0%

friends
Categorical

CONSTANT
HIGH CORRELATION
MISSING
REJECTED

Distinct	1
Distinct (%)	8.3%
Missing	29774
Missing (%)	> 99.9%
Memory size	232.8 KiB

[]	12

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	[]
2nd row	[]
3rd row	[]
4th row	[]
5th row	[]

Common Values

Value	Count	Frequency (%)
[]	12	< 0.1%
(Missing)	29774	> 99.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
	12	100.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

fx_rate
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	40
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.018223792

Minimum	0.00903163
Maximum	1.71773213
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	232.8 KiB

Quantile statistics

Minimum	0.00903163
5-th percentile	0.76265492
Q1	1
median	1
Q3	1
95-th percentile	1.39919434
Maximum	1.71773213
Range	1.7087005
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.2282321839
Coefficient of variation (CV)	0.2241473689
Kurtosis	7.057249031
Mean	1.018223792
Median Absolute Deviation (MAD)	0
Skewness	-1.687713594
Sum	30328.81386
Variance	0.05208992976
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
1	20520	68.9%
1.39919434	2967	10.0%
1.19937728	2087	7.0%
0.8145591	1174	3.9%
0.76265492	522	1.8%
1.40820476	429	1.4%
1.21227991	395	1.3%
0.04911233	280	0.9%
0.82118999	251	0.8%
0.1183029	155	0.5%
Other values (30)	1006	3.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.00903163	71	0.2%
0.00908232	6	< 0.1%
0.01108775	2	< 0.1%
0.04911233	280	0.9%
0.04993515	58	0.2%
0.06029315	3	< 0.1%
0.11816866	47	0.2%
0.1183029	155	0.5%
0.12006869	49	0.2%
0.12027714	10	< 0.1%

Value	Count	Frequency (%)
1.71773213	8	< 0.1%
1.47242512	23	0.1%
1.40820476	429	1.4%
1.39919434	2967	10.0%
1.22765801	35	0.1%
1.21227991	395	1.3%
1.19937728	2087	7.0%
1.11245718	17	0.1%
1.10047078	75	0.3%
1	20520	68.9%

goal
Real number (ℝ_≥0)

SKEWED

Distinct	1706
Distinct (%)	5.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	36400.98363

Minimum	0.01
Maximum	100000000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	232.8 KiB

Quantile statistics

Minimum	0.01
5-th percentile	250
Q1	1000
median	3900
Q3	10000
95-th percentile	60000
Maximum	100000000
Range	99999999.99
Interquartile range (IQR)	9000

Descriptive statistics

Standard deviation	788100.9674
Coefficient of variation (CV)	21.65054042
Kurtosis	9488.816589
Mean	36400.98363
Median Absolute Deviation (MAD)	3300
Skewness	85.34983856
Sum	1084239698
Variance	6.211031348 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5000	1931	6.5%
10000	1470	4.9%
1000	1448	4.9%
500	1378	4.6%
3000	1304	4.4%
2000	1252	4.2%
1500	894	3.0%
2500	890	3.0%
15000	837	2.8%
20000	719	2.4%
Other values (1696)	17663	59.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.01	1	< 0.1%
1	64	0.2%
2	2	< 0.1%
3	1	< 0.1%
4	2	< 0.1%
5	10	< 0.1%
7	1	< 0.1%
8	3	< 0.1%
10	49	0.2%
12	4	< 0.1%

Value	Count	Frequency (%)
100000000	1	< 0.1%
50000000	1	< 0.1%
33000000	1	< 0.1%
25000000	3	< 0.1%
20000000	3	< 0.1%
12500000	1	< 0.1%
10000000	7	< 0.1%
9000000	3	< 0.1%
8547100	1	< 0.1%
7500000	1	< 0.1%

id
Real number (ℝ_≥0)

UNIQUE

Distinct	29786
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1066745262

Minimum	53154
Maximum	2147466649
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	232.8 KiB

Quantile statistics

Minimum	53154
5-th percentile	104029011.8
Q1	523759718.2
median	1061726379
Q3	1606513003
95-th percentile	2037708346
Maximum	2147466649
Range	2147413495
Interquartile range (IQR)	1082753285

Descriptive statistics

Standard deviation	623176990.8
Coefficient of variation (CV)	0.5841853845
Kurtosis	-1.218186352
Mean	1066745262
Median Absolute Deviation (MAD)	540755953
Skewness	0.01193683368
Sum	3.177407436 × 10¹³
Variance	3.883495618 × 10¹⁷
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2128867236	1	< 0.1%
1204982648	1	< 0.1%
1631720078	1	< 0.1%
797273875	1	< 0.1%
352857897	1	< 0.1%
2504670	1	< 0.1%
1817558248	1	< 0.1%
1380857963	1	< 0.1%
2142498136	1	< 0.1%
2113602014	1	< 0.1%
Other values (29776)	29776	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
53154	1	< 0.1%
113230	1	< 0.1%
127800	1	< 0.1%
171116	1	< 0.1%
274865	1	< 0.1%
285583	1	< 0.1%
325875	1	< 0.1%
379873	1	< 0.1%
546455	1	< 0.1%
731194	1	< 0.1%

Value	Count	Frequency (%)
2147466649	1	< 0.1%
2147460119	1	< 0.1%
2147430599	1	< 0.1%
2147416747	1	< 0.1%
2147380316	1	< 0.1%
2147364781	1	< 0.1%
2147339483	1	< 0.1%
2147336747	1	< 0.1%
2147180546	1	< 0.1%
2147034766	1	< 0.1%

is_backing
Boolean

CONSTANT
HIGH CORRELATION
MISSING
REJECTED

Distinct	1
Distinct (%)	8.3%
Missing	29774
Missing (%)	> 99.9%
Memory size	232.8 KiB

False	12
(Missing)	29774

Common Values
Chart

Value	Count	Frequency (%)
False	12	< 0.1%
(Missing)	29774	> 99.9%

is_starrable
Boolean

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	29.2 KiB

False	28617
True	1169

Common Values
Chart

Value	Count	Frequency (%)
False	28617	96.1%
True	1169	3.9%

is_starred
Boolean

CONSTANT
HIGH CORRELATION
MISSING
REJECTED

Distinct	1
Distinct (%)	8.3%
Missing	29774
Missing (%)	> 99.9%
Memory size	232.8 KiB

False	12
(Missing)	29774

Common Values
Chart

Value	Count	Frequency (%)
False	12	< 0.1%
(Missing)	29774	> 99.9%

launched_at
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	29761
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Memory size	232.8 KiB

2021-03-16 14:00:26	2
2020-07-02 16:00:06	2
2018-10-15 14:00:01	2
2021-05-11 09:00:01	2
2021-03-01 17:00:01	2
Other values (29756)	29776

Length

Max length	19
Median length	19
Mean length	19
Min length	19

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	29736 ?
Unique (%)	99.8%

Sample

1st row	2021-06-14 02:00:04
2nd row	2012-02-12 20:00:26
3rd row	2016-01-14 18:34:51
4th row	2013-02-12 13:18:28
5th row	2012-03-02 13:20:47

Common Values

Value	Count	Frequency (%)
2021-03-16 14:00:26	2	< 0.1%
2020-07-02 16:00:06	2	< 0.1%
2018-10-15 14:00:01	2	< 0.1%
2021-05-11 09:00:01	2	< 0.1%
2021-03-01 17:00:01	2	< 0.1%
2021-02-16 16:00:02	2	< 0.1%
2021-03-30 17:00:07	2	< 0.1%
2021-02-12 20:00:01	2	< 0.1%
2021-02-02 19:00:03	2	< 0.1%
2021-02-23 16:00:00	2	< 0.1%
Other values (29751)	29766	99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2021-06-01	131	0.2%
2021-02-01	94	0.2%
2021-02-02	92	0.2%
2021-06-15	91	0.2%
2021-02-23	72	0.1%
2021-05-18	71	0.1%
2021-06-08	71	0.1%
2021-02-16	71	0.1%
2021-05-25	68	0.1%
2021-03-23	66	0.1%
Other values (27522)	58745	98.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

name
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	29751
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Memory size	232.8 KiB

Home	2
Car Wash (Canceled)	2
The Bigger Picture	2
APEX	2
UTouch: Your protection against germs on public touchscreens (Canceled)	2
Other values (29746)	29776

Length

Max length	95
Median length	35
Mean length	35.27230914
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	29716 ?
Unique (%)	99.8%

Sample

1st row	ZAKA: A Monster-Battling Card Game
2nd row	Help Us Finish "Elevator" (A Feature Length Film)
3rd row	PHASE
4th row	Paper Dreams
5th row	Things Found on the Ground

Common Values

Value	Count	Frequency (%)
Home	2	< 0.1%
Car Wash (Canceled)	2	< 0.1%
The Bigger Picture	2	< 0.1%
APEX	2	< 0.1%
UTouch: Your protection against germs on public touchscreens (Canceled)	2	< 0.1%
Collapse	2	< 0.1%
INIE Belt: Smart and Fashionable Belt monitors your health (Canceled)	2	< 0.1%
Reflections	2	< 0.1%
University of Brighton BA Photography - Degree catalogue	2	< 0.1%
ANIMAL	2	< 0.1%
Other values (29741)	29766	99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	7515	4.4%
	7320	4.3%
a	4167	2.4%
of	3435	2.0%
and	2079	1.2%
for	1647	1.0%
in	1489	0.9%
canceled	1420	0.8%
to	1338	0.8%
film	1184	0.7%
Other values (29835)	139021	81.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

permissions
Categorical

CONSTANT
HIGH CORRELATION
MISSING
REJECTED

Distinct	1
Distinct (%)	8.3%
Missing	29774
Missing (%)	> 99.9%
Memory size	232.8 KiB

[]	12

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	[]
2nd row	[]
3rd row	[]
4th row	[]
5th row	[]

Common Values

Value	Count	Frequency (%)
[]	12	< 0.1%
(Missing)	29774	> 99.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
	12	100.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

pledged
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	14318
Distinct (%)	48.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	22571.12789

Minimum	0
Maximum	17844938
Zeros	1674
Zeros (%)	5.6%
Negative	0
Negative (%)	0.0%
Memory size	232.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	355
median	2314.5
Q3	8090
95-th percentile	51344.75
Maximum	17844938
Range	17844938
Interquartile range (IQR)	7735

Descriptive statistics

Standard deviation	247331.942
Coefficient of variation (CV)	10.95789024
Kurtosis	2273.635669
Mean	22571.12789
Median Absolute Deviation (MAD)	2274.5
Skewness	40.96339002
Sum	672303615.3
Variance	6.117308952 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1674	5.6%
1	654	2.2%
10	180	0.6%
2	156	0.5%
5	123	0.4%
50	112	0.4%
25	111	0.4%
100	107	0.4%
20	87	0.3%
6	81	0.3%
Other values (14308)	26501	89.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1674	5.6%
1	654	2.2%
1.11	1	< 0.1%
1.29	11	< 0.1%
1.32	13	< 0.1%
1.42	6	< 0.1%
1.5	1	< 0.1%
2	156	0.5%
2.01	1	< 0.1%
2.29	3	< 0.1%

Value	Count	Frequency (%)
17844938	1	< 0.1%
17070638.4	1	< 0.1%
12691171	1	< 0.1%
11439275	1	< 0.1%
8596474.58	1	< 0.1%
7819769	1	< 0.1%
6840648.09	1	< 0.1%
6523297	1	< 0.1%
6318700	1	< 0.1%
6199249	1	< 0.1%

slug
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	29786
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	232.8 KiB

zaka	1
laserwand-magic-game	1
heart-and-sole-pin-badge	1
its-always-you	1
lyra-a-sci-fi-feature-film	1
Other values (29781)	29781

Length

Max length	63
Median length	32
Mean length	32.35875915
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	29786 ?
Unique (%)	100.0%

Sample

1st row	zaka
2nd row	help-us-finish-elevator-a-feature-length-film
3rd row	phase
4th row	paper-dreams
5th row	things-found-on-the-ground

Common Values

Value	Count	Frequency (%)
zaka	1	< 0.1%
laserwand-magic-game	1	< 0.1%
heart-and-sole-pin-badge	1	< 0.1%
its-always-you	1	< 0.1%
lyra-a-sci-fi-feature-film	1	< 0.1%
audition-one-hundred-actors-one-love-story-0	1	< 0.1%
gobbins-token-cards-by-mac	1	< 0.1%
zero-point-game-console-upgrade-to-the-future	1	< 0.1%
the-perfect-match-for-luxury-watches-bezel-tennis	1	< 0.1%
dante-brown-warehouse-dance-2017-season-launch	1	< 0.1%
Other values (29776)	29776	> 99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
zaka	1	< 0.1%
pulse-dance-project-spring-showcase-2014	1	< 0.1%
things-found-on-the-ground	1	< 0.1%
last-contact	1	< 0.1%
creative-control	1	< 0.1%
humanity-a-halo-fan-film	1	< 0.1%
shadow-tactics-the-board-game-solo-co-op-ronin-expansion	1	< 0.1%
beautiful-things-0	1	< 0.1%
burbank-high-school-color-guard-needs-a-new-floor	1	< 0.1%
vermin-vendetta	1	< 0.1%
Other values (29776)	29776	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

source_url
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	22
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	232.8 KiB

https://www.kickstarter.com/discover/categories/comics/graphic%20novels	2400
https://www.kickstarter.com/discover/categories/music/classical%20music	2400
https://www.kickstarter.com/discover/categories/film%20&%20video/narrative%20film	2400
https://www.kickstarter.com/discover/categories/games	2395
https://www.kickstarter.com/discover/categories/art	2384
Other values (17)	17807

Length

Max length	82
Median length	67
Mean length	65.73547976
Min length	51

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	https://www.kickstarter.com/discover/categories/games
2nd row	https://www.kickstarter.com/discover/categories/film%20&%20video/narrative%20film
3rd row	https://www.kickstarter.com/discover/categories/dance
4th row	https://www.kickstarter.com/discover/categories/film%20&%20video/romance
5th row	https://www.kickstarter.com/discover/categories/film%20&%20video/narrative%20film

Common Values

Value	Count	Frequency (%)
https://www.kickstarter.com/discover/categories/comics/graphic%20novels	2400	8.1%
https://www.kickstarter.com/discover/categories/music/classical%20music	2400	8.1%
https://www.kickstarter.com/discover/categories/film%20&%20video/narrative%20film	2400	8.1%
https://www.kickstarter.com/discover/categories/games	2395	8.0%
https://www.kickstarter.com/discover/categories/art	2384	8.0%
https://www.kickstarter.com/discover/categories/photography	2145	7.2%
https://www.kickstarter.com/discover/categories/fashion/jewelry	1998	6.7%
https://www.kickstarter.com/discover/categories/dance	1965	6.6%
https://www.kickstarter.com/discover/categories/technology/wearables	1898	6.4%
https://www.kickstarter.com/discover/categories/publishing/poetry	1816	6.1%
Other values (12)	7985	26.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.kickstarter.com/discover/categories/comics/graphic%20novels	2400	8.1%
https://www.kickstarter.com/discover/categories/music/classical%20music	2400	8.1%
https://www.kickstarter.com/discover/categories/film%20&%20video/narrative%20film	2400	8.1%
https://www.kickstarter.com/discover/categories/games	2395	8.0%
https://www.kickstarter.com/discover/categories/art	2384	8.0%
https://www.kickstarter.com/discover/categories/photography	2145	7.2%
https://www.kickstarter.com/discover/categories/fashion/jewelry	1998	6.7%
https://www.kickstarter.com/discover/categories/dance	1965	6.6%
https://www.kickstarter.com/discover/categories/technology/wearables	1898	6.4%
https://www.kickstarter.com/discover/categories/publishing/poetry	1816	6.1%
Other values (12)	7985	26.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

spotlight
Boolean

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	29.2 KiB

True	19191
False	10595

Common Values
Chart

Value	Count	Frequency (%)
True	19191	64.4%
False	10595	35.6%

staff_pick
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	29.2 KiB

False	25011
True	4775

Common Values
Chart

Value	Count	Frequency (%)
False	25011	84.0%
True	4775	16.0%

state
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	232.8 KiB

successful	19191
failed	7799
canceled	1609
live	1187

Length

Max length	10
Median length	10
Mean length	8.605519372
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	live
2nd row	successful
3rd row	successful
4th row	successful
5th row	successful

Common Values

Value	Count	Frequency (%)
successful	19191	64.4%
failed	7799	26.2%
canceled	1609	5.4%
live	1187	4.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
successful	19191	64.4%
failed	7799	26.2%
canceled	1609	5.4%
live	1187	4.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

state_changed_at
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	29202
Distinct (%)	98.0%
Missing	0
Missing (%)	0.0%
Memory size	232.8 KiB

2021-05-01 03:59:00	8
2021-01-01 04:59:00	6
2020-11-03 14:16:24	5
2021-03-25 22:00:00	5
2021-05-01 01:00:00	5
Other values (29197)	29757

Length

Max length	19
Median length	19
Mean length	19
Min length	19

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	28709 ?
Unique (%)	96.4%

Sample

1st row	2021-06-14 02:00:05
2nd row	2012-04-02 06:59:00
3rd row	2016-02-13 18:34:51
4th row	2013-03-14 12:18:28
5th row	2012-04-01 04:59:03

Common Values

Value	Count	Frequency (%)
2021-05-01 03:59:00	8	< 0.1%
2021-01-01 04:59:00	6	< 0.1%
2020-11-03 14:16:24	5	< 0.1%
2021-03-25 22:00:00	5	< 0.1%
2021-05-01 01:00:00	5	< 0.1%
2021-02-28 23:59:00	5	< 0.1%
2021-03-01 04:59:00	5	< 0.1%
2019-06-01 03:59:02	4	< 0.1%
2021-03-01 05:59:00	4	< 0.1%
2019-07-04 18:00:01	4	< 0.1%
Other values (29192)	29735	99.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
03:59:00	372	0.6%
04:59:00	342	0.6%
06:59:00	185	0.3%
2021-06-01	156	0.3%
04:00:00	147	0.2%
02:00:00	142	0.2%
01:00:00	140	0.2%
04:59:01	127	0.2%
03:00:00	123	0.2%
00:00:00	123	0.2%
Other values (22887)	57715	96.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

static_usd_rate
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5520
Distinct (%)	18.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.01351032

Minimum	0.00878181
Maximum	1.71557485
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	232.8 KiB

Quantile statistics

Minimum	0.00878181
5-th percentile	0.7467844425
Q1	1
median	1
Q3	1
95-th percentile	1.39559745
Maximum	1.71557485
Range	1.70679304
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.2320002093
Coefficient of variation (CV)	0.2289075944
Kurtosis	7.057910995
Mean	1.01351032
Median Absolute Deviation (MAD)	0
Skewness	-1.393654869
Sum	30188.4184
Variance	0.0538240971
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	20551	69.0%
1.2099521	22	0.1%
1.21989155	22	0.1%
1.20721043	17	0.1%
1.37326231	17	0.1%
1.41965599	16	0.1%
1.41438315	14	< 0.1%
1.40867689	14	< 0.1%
1.39249972	13	< 0.1%
1.21320501	13	< 0.1%
Other values (5510)	9087	30.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.00878181	1	< 0.1%
0.00878488	1	< 0.1%
0.00884757	1	< 0.1%
0.00885344	1	< 0.1%
0.00887053	1	< 0.1%
0.0089081	1	< 0.1%
0.00890852	1	< 0.1%
0.00893194	1	< 0.1%
0.00896079	1	< 0.1%
0.0089746	1	< 0.1%

Value	Count	Frequency (%)
1.71557485	2	< 0.1%
1.71446598	7	< 0.1%
1.7139723	2	< 0.1%
1.71365215	1	< 0.1%
1.71337029	4	< 0.1%
1.7128655	1	< 0.1%
1.71281856	4	< 0.1%
1.71211475	4	< 0.1%
1.71177772	2	< 0.1%
1.70951568	2	< 0.1%

usd_exchange_rate
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5389
Distinct (%)	18.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.013232074

Minimum	0.00877941
Maximum	1.71640818
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	232.8 KiB

Quantile statistics

Minimum	0.00877941
5-th percentile	0.7474763325
Q1	1
median	1
Q3	1
95-th percentile	1.39919434
Maximum	1.71640818
Range	1.70762877
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.2317514516
Coefficient of variation (CV)	0.2287249462
Kurtosis	7.055784495
Mean	1.013232074
Median Absolute Deviation (MAD)	0
Skewness	-1.408886846
Sum	30180.13055
Variance	0.05370873531
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	20551	69.0%
1.19937728	212	0.7%
1.39919434	149	0.5%
0.8145591	80	0.3%
0.76265492	27	0.1%
0.04911233	16	0.1%
1.37722267	15	0.1%
0.12879876	14	< 0.1%
1.21227991	13	< 0.1%
1.21665454	12	< 0.1%
Other values (5379)	8697	29.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.00877941	1	< 0.1%
0.008793	1	< 0.1%
0.00881306	1	< 0.1%
0.00890852	1	< 0.1%
0.00891937	1	< 0.1%
0.0089354	1	< 0.1%
0.00894174	1	< 0.1%
0.00896177	2	< 0.1%
0.00897465	1	< 0.1%
0.0089956	1	< 0.1%

Value	Count	Frequency (%)
1.71640818	4	< 0.1%
1.71591338	2	< 0.1%
1.71589277	2	< 0.1%
1.71557485	1	< 0.1%
1.7139723	1	< 0.1%
1.71365215	1	< 0.1%
1.7128655	2	< 0.1%
1.71281856	2	< 0.1%
1.71211475	1	< 0.1%
1.71177772	1	< 0.1%

usd_pledged
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	19229
Distinct (%)	64.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15804.41773

Minimum	0
Maximum	8596474.58
Zeros	1674
Zeros (%)	5.6%
Negative	0
Negative (%)	0.0%
Memory size	232.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	351
median	2265.815216
Q3	7701.211713
95-th percentile	43269.06162
Maximum	8596474.58
Range	8596474.58
Interquartile range (IQR)	7350.211713

Descriptive statistics

Standard deviation	132920.7538
Coefficient of variation (CV)	8.410354375
Kurtosis	1702.426275
Mean	15804.41773
Median Absolute Deviation (MAD)	2224.890469
Skewness	35.523334
Sum	470750386.5
Variance	1.766792679 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1674	5.6%
1	432	1.5%
10	116	0.4%
2	101	0.3%
50	89	0.3%
25	83	0.3%
5	79	0.3%
100	76	0.3%
30	62	0.2%
6	57	0.2%
Other values (19219)	27017	90.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1674	5.6%
0.4889374	1	< 0.1%
0.5110477	1	< 0.1%
0.5215604	1	< 0.1%
0.5321031	1	< 0.1%
0.5375542	1	< 0.1%
0.58451555	1	< 0.1%
0.5849307	1	< 0.1%
0.58759645	1	< 0.1%
0.6061302	1	< 0.1%

Value	Count	Frequency (%)
8596474.58	1	< 0.1%
8332853.93	1	< 0.1%
5988089	1	< 0.1%
5702153.38	1	< 0.1%
5333792.84	1	< 0.1%
4831975.87	1	< 0.1%
4770033.818	1	< 0.1%
4681636.97	1	< 0.1%
3502960.39	1	< 0.1%
3310872.98	1	< 0.1%

usd_type
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	83
Missing (%)	0.3%
Memory size	232.8 KiB

international	29691
domestic	12

Length

Max length	13
Median length	13
Mean length	12.99798
Min length	8

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	international
2nd row	international
3rd row	international
4th row	international
5th row	international

Common Values

Value	Count	Frequency (%)
international	29691	99.7%
domestic	12	< 0.1%
(Missing)	83	0.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
international	29691	> 99.9%
domestic	12	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

location_city
Categorical

HIGH CARDINALITY

Distinct	4279
Distinct (%)	14.4%
Missing	49
Missing (%)	0.2%
Memory size	232.8 KiB

Los Angeles	1459
New York	1422
London	1211
Chicago	576
Brooklyn	576
Other values (4274)	24493

Length

Max length	39
Median length	8
Mean length	8.596327807
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2368 ?
Unique (%)	8.0%

Sample

1st row	Melbourne
2nd row	Arcadia
3rd row	Boulder
4th row	Brooklyn
5th row	Madison

Common Values

Value	Count	Frequency (%)
Los Angeles	1459	4.9%
New York	1422	4.8%
London	1211	4.1%
Chicago	576	1.9%
Brooklyn	576	1.9%
San Francisco	482	1.6%
Portland	380	1.3%
Seattle	378	1.3%
Toronto	360	1.2%
Austin	332	1.1%
Other values (4269)	22561	75.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
new	1608	4.2%
los	1483	3.9%
angeles	1468	3.8%
york	1434	3.7%
london	1261	3.3%
san	910	2.4%
city	653	1.7%
chicago	577	1.5%
brooklyn	576	1.5%
francisco	484	1.3%
Other values (4207)	27933	72.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

location_state
Categorical

HIGH CARDINALITY

Distinct	621
Distinct (%)	2.1%
Missing	65
Missing (%)	0.2%
Memory size	232.8 KiB

CA	3756
England	2951
NY	2850
TX	1095
FL	904
Other values (616)	18165

Length

Max length	49
Median length	2
Mean length	4.041586757
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	209 ?
Unique (%)	0.7%

Sample

1st row	VIC
2nd row	CA
3rd row	CO
4th row	NY
5th row	WI

Common Values

Value	Count	Frequency (%)
CA	3756	12.6%
England	2951	9.9%
NY	2850	9.6%
TX	1095	3.7%
FL	904	3.0%
IL	754	2.5%
WA	685	2.3%
PA	655	2.2%
MA	626	2.1%
ON	598	2.0%
Other values (611)	14847	49.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
ca	3756	11.7%
england	2951	9.2%
ny	2850	8.9%
tx	1095	3.4%
fl	904	2.8%
il	754	2.3%
wa	685	2.1%
pa	655	2.0%
ma	626	2.0%
on	598	1.9%
Other values (714)	17225	53.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Unnamed: 0	backers_count	blurb	category	converted_pledged_amount	country	country_displayable_name	created_at	creator	currency	currency_symbol	currency_trailing_code	current_currency	deadline	disable_communication	friends	fx_rate	goal	id	is_backing	is_starrable	is_starred	launched_at	name	permissions	pledged	slug	source_url	spotlight	staff_pick	state	state_changed_at	static_usd_rate	usd_exchange_rate	usd_pledged	usd_type	location_city	location_state
0	0	65	A super-cheeky strategy card game that's full of monsters, magic and lots of sneaky revenge!	Tabletop Games	2856	AU	Australia	2021-05-21 01:00:51	Jof Croxford	AUD	$	True	USD	2021-07-14 02:00:04	False	NaN	0.762655	15000.0	2128867236	NaN	True	NaN	2021-06-14 02:00:04	ZAKA: A Monster-Battling Card Game	NaN	3745.32	zaka	https://www.kickstarter.com/discover/categories/games	False	False	live	2021-06-14 02:00:05	0.770798	0.762655	2886.886851	international	Melbourne	VIC
1	1	146	Help us finish a feature film about two strangers stuck in adjacent elevators that share a conversation that may alter their realities.	Narrative Film	10120	US	the United States	2012-01-26 18:20:01	Nine Finger Productions	USD	$	True	USD	2012-04-02 06:59:00	False	NaN	1.000000	10000.0	522081392	NaN	False	NaN	2012-02-12 20:00:26	Help Us Finish "Elevator" (A Feature Length Film)	NaN	10120.00	help-us-finish-elevator-a-feature-length-film	https://www.kickstarter.com/discover/categories/film%20&%20video/narrative%20film	True	False	successful	2012-04-02 06:59:00	1.000000	1.000000	10120.000000	international	Arcadia	CA
2	2	41	Considered playfully mischievous and outlaws in the world of movement, Rogue Co. brings you their 5th full length production, "PHASE."	Performances	3785	US	the United States	2015-11-13 21:04:33	Rogue Co.	USD	$	True	USD	2016-02-13 18:34:51	False	NaN	1.000000	3000.0	688419156	NaN	False	NaN	2016-01-14 18:34:51	PHASE	NaN	3785.00	phase	https://www.kickstarter.com/discover/categories/dance	True	False	successful	2016-02-13 18:34:51	1.000000	1.000000	3785.000000	international	Boulder	CO
3	3	466	A fantastical love story about two New Yorkers whose relationship unfolds aboard a paper mache subway!	Romance	21634	US	the United States	2013-02-01 17:22:07	Ryan Mitchel and Team	USD	$	True	USD	2013-03-14 12:18:28	False	NaN	1.000000	20000.0	1395612011	NaN	False	NaN	2013-02-12 13:18:28	Paper Dreams	NaN	21634.00	paper-dreams	https://www.kickstarter.com/discover/categories/film%20&%20video/romance	True	True	successful	2013-03-14 12:18:28	1.000000	1.000000	21634.000000	international	Brooklyn	NY
4	4	70	A story about a girl named Jane who is learning to accept human frailty as she deals with the news of her sister getting knocked up.	Narrative Film	3081	US	the United States	2012-02-23 19:45:00	Carol Brandt	USD	$	True	USD	2012-04-01 04:59:00	False	NaN	1.000000	3000.0	1895670076	NaN	False	NaN	2012-03-02 13:20:47	Things Found on the Ground	NaN	3081.00	things-found-on-the-ground	https://www.kickstarter.com/discover/categories/film%20&%20video/narrative%20film	True	False	successful	2012-04-01 04:59:03	1.000000	1.000000	3081.000000	international	Madison	WI
5	5	166	A short film portraying the despair of a researcher long after his last contact with the outside world	Science Fiction	6115	GB	the United Kingdom	2014-08-20 12:09:28	Michael Garrett	GBP	£	False	USD	2014-11-15 16:25:29	False	NaN	1.399194	3000.0	273779926	NaN	False	NaN	2014-10-16 15:25:29	LAST CONTACT	NaN	3903.00	last-contact	https://www.kickstarter.com/discover/categories/film%20&%20video/science%20fiction	True	False	successful	2014-11-15 16:25:29	1.589754	1.566973	6204.811228	international	Shipka	Stara Zagora
6	6	318	A NEAR FUTURE feature film about sex, technology, and obsession.	Narrative Film	32001	US	the United States	2014-04-08 17:52:24	Benjamin Dickinson	USD	$	True	USD	2014-06-01 03:59:00	False	NaN	1.000000	30000.0	1905826891	NaN	False	NaN	2014-04-30 15:46:18	CREATIVE CONTROL	NaN	32001.46	creative-control	https://www.kickstarter.com/discover/categories/film%20&%20video/narrative%20film	True	True	successful	2014-06-01 03:59:02	1.000000	1.000000	32001.460000	international	Brooklyn	NY
7	7	27	A Halo Fan Film about Master Chief after Halo 4 & Halo Escalations: The Next 72 Hours.	Science Fiction	1391	US	the United States	2015-01-13 05:58:39	Robert J Merritt	USD	$	True	USD	2015-07-09 19:52:57	False	NaN	1.000000	70000.0	1606387274	NaN	False	NaN	2015-06-08 19:52:57	Humanity: A Halo Fan Film	NaN	1391.00	humanity-a-halo-fan-film	https://www.kickstarter.com/discover/categories/film%20&%20video/science%20fiction	False	False	failed	2015-07-09 19:52:57	1.000000	1.000000	1391.000000	international	Vancouver	BC
8	8	638	Tactical stealth game with secret action programming for 1-6 players. Now with 1 vs. many and cooperative/solo modes.	Tabletop Games	56758	NL	the Netherlands	2020-10-13 14:27:30	Antler Games	EUR	€	False	USD	2021-03-03 20:00:00	False	NaN	1.199377	5000.0	1461979375	NaN	False	NaN	2021-02-16 16:06:13	Shadow Tactics: the Board Game + solo/co-op Ronin expansion	NaN	46952.50	shadow-tactics-the-board-game-solo-co-op-ronin-expansion	https://www.kickstarter.com/discover/categories/games	True	False	successful	2021-03-03 20:00:01	1.213205	1.208852	56963.008232	international	Budapest	Budapest
9	9	80	A queer love story touched by motherhood and self-doubt with a Brooklyn backdrop.	Romance	4215	US	the United States	2016-12-30 19:27:19	Paige Polk	USD	$	True	USD	2017-02-27 15:00:00	False	NaN	1.000000	24953.0	1351145783	NaN	False	NaN	2017-01-31 23:44:21	Beautiful Things	NaN	4215.00	beautiful-things-0	https://www.kickstarter.com/discover/categories/film%20&%20video/romance	False	True	failed	2017-02-27 15:00:00	1.000000	1.000000	4215.000000	international	Brooklyn	NY

Last rows

	Unnamed: 0	backers_count	blurb	category	converted_pledged_amount	country	country_displayable_name	created_at	creator	currency	currency_symbol	currency_trailing_code	current_currency	deadline	disable_communication	friends	fx_rate	goal	id	is_backing	is_starrable	is_starred	launched_at	name	permissions	pledged	slug	source_url	spotlight	staff_pick	state	state_changed_at	static_usd_rate	usd_exchange_rate	usd_pledged	usd_type	location_city	location_state
29776	1966	59	I'm flying Swedish percussionist Måns Block and the Vindla String Quartet in to London for a concert where I'll be launching my new CD	Classical Music	1982	GB	the United Kingdom	2017-01-15 16:14:57	Johan Hugosson	GBP	£	False	USD	2017-03-30 20:00:00	False	NaN	1.399194	1500.0	645573052	NaN	False	NaN	2017-03-01 12:30:42	Bring Johan Hugosson's 'Made in Sweden' Concert to London.	NaN	1593.0	bring-johan-hugossons-made-in-sweden-concert-to-lo	https://www.kickstarter.com/discover/categories/music/classical%20music	True	False	successful	2017-03-30 20:00:00	1.243231	1.244245	1980.466362	international	London	England
29777	1967	76	The FIRST screen protector with an image that disappears when your phone is in use! Allowing for personalization and protection.	Wearables	8183	US	the United States	2014-05-04 21:07:09	ScreenSwag inc.	USD	$	True	USD	2014-08-20 01:38:21	False	NaN	1.000000	8000.0	274524291	NaN	False	NaN	2014-07-01 01:38:21	ScreenSwag™ - Screen Protection with Maximum Expression	NaN	8183.0	screenswag-screen-protection-with-maximum-expressi	https://www.kickstarter.com/discover/categories/technology/wearables	True	False	successful	2014-08-20 01:38:21	1.000000	1.000000	8183.000000	international	Orlando	FL
29778	1969	209	Photographs by Glen Wexler \| Foreword by Billy F Gibbons	Photobooks	32669	US	the United States	2018-10-16 01:05:39	GLEN WEXLER	USD	$	True	USD	2018-12-03 07:59:00	False	NaN	1.000000	22000.0	554027675	NaN	False	NaN	2018-10-30 16:26:02	The ’80s Portrait Sessions	NaN	32669.0	the-80s-portrait-sessions	https://www.kickstarter.com/discover/categories/photography	True	True	successful	2018-12-03 07:59:00	1.000000	1.000000	32669.000000	international	Hollywood	CA
29779	1970	0	Existential Love Poetry - A New Genre	Poetry	0	US	the United States	2012-09-29 09:33:47	Erick R Williams	USD	$	True	USD	2012-11-01 10:03:00	False	NaN	1.000000	1000.0	323647377	NaN	False	NaN	2012-10-03 03:46:05	Existential Love Poems - An Experiment in New Poetry	NaN	0.0	existential-love-poems-an-experiment-in-new-poetry	https://www.kickstarter.com/discover/categories/publishing/poetry	False	False	canceled	2012-10-08 03:28:32	1.000000	1.000000	0.000000	international	Walkersville	MD
29780	1971	110	RUAWALK is designed to break the boredom and maximize the effects of walking with a dynamic walking program and synchronized RUAMUSIC.	Wearables	28347	US	the United States	2017-01-24 04:54:47	RUAWALK Corp.	USD	$	True	USD	2017-03-31 11:00:56	False	NaN	1.000000	30000.0	457952399	NaN	False	NaN	2017-02-23 12:00:56	RUAWALK: The First Music-Guided Walking Tempo Controller	NaN	28347.0	ruawalk-the-first-music-guided-walking-tempo-contr	https://www.kickstarter.com/discover/categories/technology/wearables	False	False	failed	2017-03-31 11:00:56	1.000000	1.000000	28347.000000	international	Los Angeles	CA
29781	1972	48	I'm creating a book to celebrate the diverse poetry of The Gloucester Poetry Society and its UK and International members	Poetry	1394	GB	the United Kingdom	2017-08-08 13:46:35	Jason Conway	GBP	£	False	USD	2017-09-17 23:00:00	False	NaN	1.408205	1000.0	2127789307	NaN	False	NaN	2017-08-15 20:41:34	Poetry Without Pretension Book	NaN	1026.0	poetry-without-pretension-book	https://www.kickstarter.com/discover/categories/publishing/poetry	True	False	successful	2017-09-17 23:00:00	1.301499	1.358982	1335.337646	international	Gloucester	England
29782	1973	0	A biographical poetry book relating to the many life experiences I have had some comical some serious and some unbelievable but true	Poetry	0	GB	the United Kingdom	2015-09-22 12:19:23	Keiron Saeed	GBP	£	False	USD	2015-10-22 12:19:00	False	NaN	1.408205	15000.0	1362143084	NaN	False	NaN	2015-09-22 13:59:27	The Learners Guide to Life	NaN	0.0	the-learners-guide-to-life	https://www.kickstarter.com/discover/categories/publishing/poetry	False	False	failed	2015-10-22 12:19:00	1.553625	1.542860	0.000000	international	Birmingham	England
29783	1974	0	Je voudrais voir mon meilleur ami Pierre pour son anniversaire en début janvier.Et ma meilleur amie Cynthia pour un week-end.	Nature	0	FR	France	2015-11-18 23:23:18	Quentin Muller	EUR	€	False	USD	2016-01-18 03:38:55	False	NaN	1.199377	1100.0	1674716636	NaN	False	NaN	2015-11-19 03:38:55	Aller voir mes 2 seuls amis en suisse	NaN	0.0	aller-voir-mes-2-seuls-amis-en-suisse	https://www.kickstarter.com/discover/categories/photography/nature	False	False	failed	2016-01-18 03:38:56	1.066095	1.091384	0.000000	international	Lausanne	Canton of Vaud
29784	1976	49	We are commissioning a new work, to debut at our final concert of the season, on May 20, 2017. We hope you'll consider supporting us!	Classical Music	4405	US	the United States	2017-02-01 03:29:57	Bellingham Chamber Chorale	USD	$	True	USD	2017-04-17 01:30:00	False	NaN	1.000000	4000.0	2114005133	NaN	False	NaN	2017-03-06 07:51:47	BCC premieres a new choral work in May 2017!	NaN	4405.0	bcc-commissions-a-new-choral-work-premiering-in-be	https://www.kickstarter.com/discover/categories/music/classical%20music	True	False	successful	2017-04-17 01:30:00	1.000000	1.000000	4405.000000	international	Bellingham	WA
29785	1977	0	Un libro su coloro che ho amato, perduto e mai dimenticato. A book about the ones that I loved, miss and never forget.	Poetry	0	IT	Italy	2015-12-13 08:22:16	Marco Tartari	EUR	€	False	USD	2016-01-12 09:52:49	False	NaN	1.212280	1000.0	996600987	NaN	False	NaN	2015-12-13 09:52:49	Le braci del cielo (The cinders of sky) (Canceled)	NaN	0.0	le-braci-del-cielo-the-cinders-of-sky	https://www.kickstarter.com/discover/categories/publishing/poetry	False	False	canceled	2015-12-13 19:51:48	1.099302	1.099302	0.000000	international	Naples	Campania

Overview

Variables

Common Values

Length

Most occurring characters

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Most frequent character per category

Control

Most occurring scripts

Most frequent character per script

Common

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ASCII

Common Values

Length

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Common Values

Length

Most occurring characters

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Most occurring scripts

Most frequent character per script

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Common Values

Length

Most occurring characters

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Most occurring scripts

Most frequent character per script

Most occurring blocks

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Common Values

Length

Most occurring characters

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Most occurring scripts

Most frequent character per script

Most occurring blocks

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Common Values

Length

Most occurring characters

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Most occurring scripts

Most frequent character per script

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Most frequent character per block

Common Values

Length

Most occurring characters

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Common Values

Length

Pie chart

Most occurring characters

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Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length